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Transformation Throughput Analytics — String Normalisation + Grouped Numeric Summary
x402
Transformation Throughput Analytics — String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Accepts up to 200 transformation throughput records and returns two analytical reports: string normalisation of text fields and a grouped numeric summary of processed_rows or duration_seconds by dataset group.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports: (1) a string normalisation report cleaning and standardising text fields such as row_id and dataset_group; (2) a grouped numeric summary report aggregating the selected numeric field (processed_rows or duration_seconds) by dataset_group, including descriptive statistics per group. All computed locally with no external lookups.
Example use cases
ETL pipeline throughput review
“Here are 120 records from our nightly ETL runs with row_id, dataset_group, date, processed_rows, and duration_seconds — please normalise the string fields and give me a grouped summary of processed_rows so I can see which groups are processing the most data.”
Duration bottleneck analysis by group
“I've got 80 transformation job records tracking duration_seconds across different dataset groups — can you normalise the group name strings and produce a grouped numeric summary of duration_seconds so I can spot which groups are taking the longest?”
Data quality check on throughput records
“We collected 200 rows of transformation throughput data including processed_rows and duration_seconds per dataset_group — run a string normalisation pass on the text fields and give me a grouped numeric summary of processed_rows for a quick sanity check on our pipeline output.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transformation throughput records with both text and numeric fields and need two co-produced reports — string normalisation and a grouped numeric summary — in a single low-cost call ($0.01 USDC). Ideal for ETL pipeline analysis, data engineering audits, or quick group-level aggregation of processed_rows or duration_seconds without setting up a local analytics environment.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Null values in the selected numeric field may affect summary statistics
- Selecting an invalid field enum value (not processed_rows or duration_seconds) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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